This is a repost of a blog originally posted to GovLoop here.

This blog post is an excerpt from our new report, How Artificial Intelligence Combats Fraud and Cyberattack, download the full report here.

Machine learning (ML) and artificial intelligence (AI) could very well be the next major technological advancements that change the way federal IT pros work. These technologies can provide substantial benefits to any IT shop, particularly when it comes to security, network, and application performance.

The theme of the recent ICIT Forum was “Rise of the Machines”, a call to recognize the vulnerability of an infrastructure increasingly under control of computers.  The steady increase in connected systems mandates a broad range of strategies – managing supply-chain risk, analysis of huge amounts of data through machine learning, dealing with the insider-threat problem, sealing up holes in applications.  I had the privilege of discussing threat intelligence sharing on a panel with Todd Helfrich of Anomali, John Kupcinsky of KPMG, and Ana Besk

The history of hacking shows that bad actors use good technologies for bad purposes.  Machine learning is no different: it has never been easier for white hats and black hats to obtain and learn the tools of the machine learning trade. Software is readily available at little or no cost, and machine learning tutorials are just as easy to obtain.

This All-Star Team Plans to Jumpstart 100 Cybersecurity Companies in 3 Years